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Remote Data Infrastructure Jobs (NOW HIRING)

3B Staffing LLC

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Data Engineer - Cloud Infrastructure (BigQuery, Python, Terraform) Summary: We are seeking a highly ... Remote * Duration: Long-term contract (12+ months) * Client: Major technology client

3B Staffing LLC

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Data Engineer - Cloud Infrastructure (BigQuery, Python, Terraform) Summary: We are seeking a highly ... Remote * Duration: Long-term contract (12+ months) * Client: Major technology client

Experian

$59 - $76/hr

Develop the infrastructure for our semantic and ontology layers. (including authoring and ... Experience with data modeling, schema design, and data quality as platform engineering concerns.

Pavago

Data Engineer

$117K - $140K/yr

Data Engineer Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with ... infrastructure and reliable data pipelines that power analytics, reporting, and operational ...

Rerun

Software Engineer, Infrastructure

$177K - $209K/yr

Background in data-intensive infrastructure * Interest in robotics, AR/VR, ML, or simulation How we work at Rerun * We're a remote company headquartered in Stockholm, Sweden. * We meet up in person ...

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... infrastructure * Build tools for automating repetitive asks so that bandwidth can be freed for ...

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Remote Data Infrastructure information

What is remote data infrastructure?

Remote data infrastructure refers to the systems, tools, and processes that enable organizations to collect, store, manage, and analyze data from remote locations, often via cloud-based platforms. This infrastructure allows teams to access and work with data securely from anywhere, supporting distributed work environments and scalable data solutions. It typically involves cloud storage, data pipelines, databases, and security protocols tailored for remote accessibility. Remote data infrastructure is essential for businesses that operate in multiple locations or have remote teams.

What are the key skills and qualifications needed to thrive as a remote data infrastructure engineer?

To excel as a Remote Data Infrastructure Engineer, you need a strong background in computer science, data architecture, and experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with tools like Terraform, Kubernetes, and data pipeline technologies, as well as relevant certifications (e.g., AWS Certified Solutions Architect), is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These competencies ensure reliable, scalable data systems and effective teamwork across distributed environments.

What are some common challenges faced by professionals working in remote data infrastructure roles?

Professionals in remote data infrastructure roles often encounter challenges such as ensuring seamless communication across distributed teams, maintaining high availability and performance of data systems, and managing security risks associated with remote access. Coordinating with colleagues across different time zones can require flexibility in scheduling and proactive communication. Additionally, remote data infrastructure engineers must stay up-to-date with evolving cloud technologies and best practices to effectively support scalable, reliable, and secure data architectures.
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Remote Data Infrastructure jobs near you
Infographic showing various Remote Data Infrastructure job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Software Engineer - Cloud Platform Infrastructure (Americas)

Qdrant

San Francisco, CA • Remote

$111K - $151K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations.

Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data.

As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.

As a Senior Platform Engineer - Cloud Infrastructure, you will work on the automation and internal systems that operate Qdrant Cloud reliably at scale. Rather than manually managing infrastructure, your work will focus on building tools, services, and automation that allow the platform to operate itself.

This role is best suited for engineers who enjoy writing code, automating infrastructure, and building platform systems.

This role is fully remote but restricted to candidates located in the Americas (North, Central, or South America) to ensure time-zone alignment with the team.

What you will own

  • Build internal tools and services that power Qdrant Cloud infrastructure.

  • Develop automation and platform components using Go and Python.

  • Design systems for cluster provisioning, lifecycle management, and infrastructure automation.

  • Improve Kubernetes automation through controllers, operators, and infrastructure tooling.

  • Design solutions that reduce operational toil and eliminate manual infrastructure work.

  • Improve reliability, scalability, and observability of the cloud platform.

  • Collaborate with platform and infrastructure teams on system architecture and automation.

  • Participate in incident response and implement improvements to prevent recurrence.

  • Continuously improve the internal platform used to operate Qdrant Cloud.

Who you are

  • 5+ years of experience in SRE, platform engineering, or infrastructure software engineering.

  • Strong programming skills (Go preferred, Python acceptable).

  • Experience building automation or tooling for cloud infrastructure.

  • Hands-on experience operating Kubernetes in production.

  • Experience working with AWS, GCP, or Azure.

  • Strong understanding of Linux systems and networking fundamentals.

  • Experience improving reliability through automation and systems design.

  • Comfortable participating in on-call rotations.

Nice to have

  • Experience building Kubernetes controllers or operators.

  • Experience with Terraform or infrastructure-as-code tools.

  • Experience with observability stacks such as Prometheus, Grafana, or OpenTelemetry.

  • Experience operating large-scale SaaS infrastructure.

  • Experience working with database or data infrastructure systems.

Why join us

  • A remote-first, international team working on cutting-edge AI infrastructure.

  • A competitive salary with additional perks.

  • Flexible working hours and async-friendly culture.

  • High ownership and real impact.

  • Open-source, engineering-driven culture.

  • Choose your own laptop equipment.

For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.


Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.

Come build with us!


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